Results 1 to 10 of about 9,029 (261)
All-Year Dropout Prediction Modeling and Analysis for University Students
Applied Sciences, 2023 The core of dropout prediction lies in the selection of predictive models and feature tables. Machine learning models have been shown to predict student dropouts accurately.
Zihan Song +3 more
doaj +3 more sources
A novel AI-driven model for student dropout risk analysis with explainable AI insights
Computers and Education: Artificial IntelligenceThe increasing number of students dropping out of school due to social, economic, personal (e.g., depression or persistent failure), and health issues is a growing concern for governments, educators, and guardians.
Sumaya Mustofa +4 more
doaj +3 more sources
Why do open and distance education students drop out? Views from various stakeholders
International Journal of Educational Technology in Higher Education, 2022 While the demand for open and distance education is increasing, it also faces high dropout rates. The reasons and solutions for student dropouts need considerable attention.
Ayşe Bağrıacık Yılmaz +1 more
doaj +1 more source
Deep FM-Based Predictive Model for Student Dropout in Online Classes
IEEE Access, 2023 The student’s high dropout rate is a severe issue in online learning courses. As a result, it is creating concerns for academics and administrators in the field of education. A practical method of preventing dropouts is predicting students’
Nuha Mohammed Alruwais
doaj +1 more source
International Journal of Modern Education Studies, 2022 Out of school happens when a student withdraws themselves from school at any level of education without a certificate to account for their education. It is an educational problem in America because of its negative consequences on society.
Theodoto Ressa, Allyson Andrews
doaj +1 more source
Iatreia, 2022 Introduction: Dropout rates are a constant concern for schools of medicine. Its study and solution are complex, it compromises the future of the student and affects the academic reputation of the program.
Cabrales, Rodolfo Adrián +4 more
doaj +1 more source
Causes of higher education student dropouts during the COVID-19 pandemic
Ra Ximhai, 2023 This research focuses on leading causes analysis that originate school leaves from the Tecnológico Nacional de México (TecNM) San Luis Potosí campus during the COVID-19 pandemic January-June 2020 until the January-June 2022 semester and what the factors ...
Dubelza Beatriz Oliva Garza +2 more
doaj +1 more source
Applied Artificial Intelligence, 2022 The Sub-Saharan countries are leading in dropout rates in secondary schools by 37.5% followed by South Asia 15.5% and Middle East 11% in 2018. In Tanzania, student dropouts in secondary schools increased from 3.8% in 2018 to 4.2% in 2019.
Yuda N. Mnyawami +2 more
doaj +1 more source
Student Dropout Prediction for University with High Precision and Recall
Applied Sciences, 2023 Since a high dropout rate for university students is a significant risk to local communities and countries, a dropout prediction model using machine learning is an active research domain to prevent students from dropping out.
Sangyun Kim +3 more
doaj +1 more source
“If I were young…”: Increased Dropout Risk of Older University Students
Revista Electrónica de Investigación Educativa, 2023 Dropout from higher education is a worldwide phenomenon with negative consequences for students, families, institutions, and society. As student numbers increase, students become more heterogeneous in terms of academic competencies, motivation, and ...
Joana R. Casanova +4 more
doaj +1 more source